20 citations · 20 across the 1 of their papers we have counts for
2 papers
cs.CV2025
Medal S: Spatio-Textual Prompt Model for Medical Segmentation
Pengcheng Shi, Jiawei Chen, Jiaqi Liu +3
We introduce Medal S, a medical segmentation foundation model that supports native-resolution spatial and textual prompts within an end-to-end trainable framework. Unlike text-only…
cs.CV2023★ 20 cited
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Ke Wang, Zanting Ye, Xiang Xie +3
Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent…